14 citations as recorded by crossref.

1. Ocean temperature reconstruction from satellite observations in the North Atlantic using an explainable deep learning framework F. Liu et al. https://doi.org/10.1080/17538947.2026.2632430
2. From Sparse Satellite Images to Continuous Visual Sequence: A Collaborative Diffusion Framework for Internal Solitary Waves Z. An et al. https://doi.org/10.1109/TGRS.2026.3689046
3. Geometry-aware mapping with MI-IWNet reveals topographic modulation effects in internal wave evolution B. Xiao et al. https://doi.org/10.1016/j.jag.2026.105338
4. Artificial intelligence for ocean phenomena forecasting X. Li et al. https://doi.org/10.1016/j.scib.2026.04.002
5. Characterization of internal waves and their links to chlorophyll in the northern South China Sea (2003–2023) X. Hu & F. Liu https://doi.org/10.1080/01431161.2026.2672064
6. Global open-ocean daily turbulent heat flux dataset (1992–2020) from SSM/I via deep learning H. Wang et al. https://doi.org/10.5194/essd-18-2929-2026
7. Identification and Segmentation of Internal Solitary Waves in the East China Sea: A TransUNet Approach Using Multi-Source Satellite Imagery J. Xu et al. https://doi.org/10.3390/rs18010131
8. CHGAFF-YOLO: A Cascade Hybrid Global Adaptive Feature Fusion Framework for Real-Time Ocean Internal Wave Detection X. Huo et al. https://doi.org/10.1109/LGRS.2025.3577597
9. Automatic identification of internal solitary waves in numerical simulations based on an improved canny algorithm L. Chen et al. https://doi.org/10.1016/j.oceaneng.2025.123275
10. An Enhanced SAR-Based ISW Detection Method Using YOLOv8 with an Anti-Interference Strategy and Repair Module and Its Applications Z. Lu et al. https://doi.org/10.3390/rs17193390
11. Automatic Crest Line Extraction Algorithm for Internal Solitary Waves Based on SWOT P. Chen et al. https://doi.org/10.3390/rs18101463
12. Internal solitary waves in the Banda Sea, a pathway between Indian and Pacific oceans: Satellite observations and physics-AI hybrid forecasting X. Zhang et al. https://doi.org/10.1016/j.rse.2025.114733
13. IW-PPM: A BP neural network model with feature engineering for internal wave propagation prediction in the Northern South China Sea Z. Jiao et al. https://doi.org/10.1016/j.ocemod.2026.102746
14. On the interaction between the nonlinear internal waves and the Pearl River plume W. Li et al. https://doi.org/10.1038/s41598-025-20724-0